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Comparison

DeepResearch vs storm

Verdict

Pick DeepResearch if deepResearch is an open-source AI research agent specialized for information-seeking tasks, built with Python and licensed under Apache-2.0; pick storm if storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.

Markdown twin · DeepResearch alternatives · storm alternatives

GraphCanon updated 2d

DeepResearch logo

DeepResearch

Alibaba-NLP/DeepResearch

★ 20kpushed Feb 27, 2026
vs
storm logo

storm

stanford-oval/storm

★ 31kpushed Sep 30, 2025

Trust & integrity

SignalDeepResearchstorm
Maintenance
Slowing (172d since push)
As of 2d · github_public_v1
Slowing (320d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of 2d · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
DeepResearch trust reportstorm trust reportTrust methodology

Tagline

DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Stars

DeepResearch
20k
storm
31k

Forks

DeepResearch
1.5k
storm
2.9k

Open issues

DeepResearch
92
storm
108

Language

DeepResearch
Python
storm
Python

Adopt for

DeepResearch
DeepResearch is an open-source AI research agent specialized for information-seeking tasks, built with Python and licensed under Apache-2.0.
storm
Storm is an advanced AI tool that utilizes LLM technology and RAG to generate deep research reports with citations.

Persona

DeepResearch
-
storm
-

Runtime

DeepResearch
-
storm
-

License

DeepResearch
Apache-2.0
storm
MIT

Last pushed

DeepResearch
Feb 27, 2026
storm
Sep 30, 2025

Categories

DeepResearch
AI Agents, Inference & Serving
storm
Data & Retrieval, LLM Frameworks

Trust and health

Days since push

DeepResearch
172d
storm
320d

Open issues (now)

DeepResearch
92
storm
108

Stars delta

DeepResearch
+161 (30d)
storm
+895 (30d)

Open issues delta

DeepResearch
0 (30d)
storm
-36 (30d)

OSV dependency advisories

DeepResearch
Published findings
storm
No lockfile (source not queried)

Full report

DeepResearch
Trust report
storm
Trust report

Typed relationship

DeepResearch alternative stormBoth platforms are built for deep research using LLMs, with similar goals in mind but likely differing in implementation and features.

Shared compatibility

  • Python · DeepResearch: Python runtime · storm: Python runtime

Choose DeepResearch if…

  • License: DeepResearch is Apache-2.0, storm is MIT.
  • Both platforms are built for deep research using LLMs, with similar goals in mind but likely differing in implementation and features.
  • Tags unique to DeepResearch: agent, alibaba, artificial-intelligence, llm.
  • Also covers AI Agents, Inference & Serving.
  • When you need a tool backed by Alibaba’s ecosystem that offers a robust environment for conducting deep research using AI techniques.

When NOT to use DeepResearch

  • Avoid DeepResearch if you require specialized features that are not covered under its deep research and information-seeking scope.
  • Do not use this tool if your project necessitates proprietary solutions, as the open-source nature might be a constraint in such scenarios.
GitHubDetails

Choose storm if…

  • License: storm is MIT, DeepResearch is Apache-2.0.
  • Both platforms are built for deep research using LLMs, with similar goals in mind but likely differing in implementation and features.
  • Tags unique to storm: agentic-rag, knowledge-curation, large language models, report-generation.
  • Also covers Data & Retrieval, LLM Frameworks.
  • When you need comprehensive reports that are heavily researched and reference a wide variety of sources.

When NOT to use storm

  • When real-time interaction or rapid iterative feedback loops are necessary, as Storm’s focus on thorough research might lead to longer processing times.
  • In scenarios requiring manual curation and subjective analysis that goes beyond the capabilities of retrieval and generation mechanisms.
GitHubDetails

Explore

DeepResearch trust report →storm trust report →AI Agents category →Inference & Serving category →Data & Retrieval category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: DeepResearch 20k · storm 31k (synced Aug 19, 2026).

Common questions

What is the difference between DeepResearch and storm?
DeepResearch: Tongyi Deep Research, the Leading Open-source Deep Research Agent. storm: An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.. See the comparison table for live GitHub stats and shared categories.
When should I choose DeepResearch over storm?
Choose DeepResearch over storm when License: DeepResearch is Apache-2.0, storm is MIT; Both platforms are built for deep research using LLMs, with similar goals in mind but likely differing in implementation and features; Tags unique to DeepResearch: agent, alibaba, artificial-intelligence, llm; Also covers AI Agents, Inference & Serving; When you need a tool backed by Alibaba’s ecosystem that offers a robust environment for conducting deep research using AI techniques.
When should I choose storm over DeepResearch?
Choose storm over DeepResearch when License: storm is MIT, DeepResearch is Apache-2.0; Both platforms are built for deep research using LLMs, with similar goals in mind but likely differing in implementation and features; Tags unique to storm: agentic-rag, knowledge-curation, large language models, report-generation; Also covers Data & Retrieval, LLM Frameworks; When you need comprehensive reports that are heavily researched and reference a wide variety of sources.
When should I avoid DeepResearch?
Avoid DeepResearch if you require specialized features that are not covered under its deep research and information-seeking scope. Do not use this tool if your project necessitates proprietary solutions, as the open-source nature might be a constraint in such scenarios.
When should I avoid storm?
When real-time interaction or rapid iterative feedback loops are necessary, as Storm’s focus on thorough research might lead to longer processing times. In scenarios requiring manual curation and subjective analysis that goes beyond the capabilities of retrieval and generation mechanisms.
Is DeepResearch or storm more popular on GitHub?
storm has more GitHub stars (31,026 vs 19,846). Stars measure visibility, not whether either tool fits your constraints.
Are DeepResearch and storm open source?
Yes - both are open-source projects on GitHub (DeepResearch: Apache-2.0, storm: MIT).
Where can I find alternatives to DeepResearch or storm?
GraphCanon lists graph-backed alternatives at DeepResearch alternatives and storm alternatives (DeepResearch markdown twin, storm markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, DeepResearch or storm?
DeepResearch: Slowing. storm: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for DeepResearch and storm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepResearch trust report; storm trust report.

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